WakeSense Portable IoT-Based Anti-Drowsiness Alert System for Drivers

Author(s)	Mr. Rethick Kumar K J, Mr. Shiraptinath C R, Mr. Sri Vignesh C, Prof. Venkata Lakshmi S, Prof. Karpagam V
Country	India
Abstract	One of the main contributing factors to traffic accidents is driver fatigue, particularly during lengthy drives. In order to improve road safety in cars without integrated monitoring systems, this project suggests a portable driver drowsiness detection system. The system uses a webcam and AI-based facial analysis to track head movements, eye closure, and yawning in order to identify drowsiness. A buzzer and seat vibrations alert the driver upon detection, and the system lowers the speed of the vehicle to avoid collisions. The system automatically sounds an alert if the driver's face is hidden by sunglasses or poor vision. Furthermore, when an accelerometer sensor detects a crash, the Raspberry Pi uses Telegram to send an emergency SOS with GPS location. This system is perfect for improving safety in older cars because it is affordable, flexible, and simple to install. The system offers an effective real-time safety solution for long-distance travel by combining automated speed control, AI-based detection, and emergency alerting.
Keywords	Eye closure detection, Smart transportation, Speed control mechanism.
Field	Computer > Electronics
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-25
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.42622

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